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AI & GenAI Data Scientist - FS- Director

We solve together so you can deliver unexpected impact.

New York, New York; Raleigh, North Carolina; Charlotte, North Carolina; Chicago, Illinois; Cincinnati, Ohio; Cleveland, Ohio; Columbia, South Carolina; Columbus, Ohio; Dallas, Texas; Richmond, Virginia; Baltimore, Maryland; Rochester, New York; Rosemont, Illinois; Boston, Massachusetts; Sacramento, California; St Louis, Missouri; Salt Lake City, Utah; San Antonio, Texas; San Diego, California; San Francisco, California; Silicon Valley, California; Seattle, Washington; Spartanburg, South Carolina; Albany, New York; Stamford, Connecticut; Tampa, Florida; Toledo, Ohio; Atlanta, Georgia; Tulsa, Oklahoma; Austin, Texas; Washington D.C., District of Columbia; Denver, Colorado; Des Moines, Iowa; Detroit, Michigan; Buffalo, New York; Florham Park, New Jersey; Fort Worth, Texas; Greensboro, North Carolina; Hartford, Connecticut; Houston, Texas; Indianapolis, Indiana; Grand Rapids, Michigan; Irvine, California; Jacksonville, Florida; Kansas City, Missouri; Las Vegas, Nevada; Little Rock, Arkansas; Los Angeles, California; Louisville, Kentucky; Birmingham, Alabama; Fayetteville, Arkansas; Melville, New York; Miami, Florida; Milwaukee, Wisconsin; Minneapolis, Minnesota; Nashville, Tennessee; New Orleans, Louisiana; Oklahoma City, Oklahoma; Orlando, Florida; Philadelphia, Pennsylvania; Phoenix, Arizona; Pittsburgh, Pennsylvania; Portland, Oregon

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Job ID
727134WD
Category
Data and Analytics Engineering
Time Type
Full time
Specialty/Competency
Data, Analytics & AI
Level
Manager
Travel Requirements
Up to 80%
Locations
New York, Raleigh, Charlotte, Chicago, Cincinnati, Cleveland, Columbia, Columbus, Dallas, Richmond, Baltimore, Rochester, Rosemont, Boston, Sacramento, St Louis, Salt Lake City, San Antonio, San Diego, San Francisco, Silicon Valley, Seattle, Spartanburg, Albany, Stamford, Tampa, Toledo, Atlanta, Tulsa, Austin, Washington D.C., Denver, Des Moines, Detroit, Buffalo, Florham Park, Fort Worth, Greensboro, Hartford, Houston, Indianapolis, Grand Rapids, Irvine, Jacksonville, Kansas City, Las Vegas, Little Rock, Los Angeles, Louisville, Birmingham, Fayetteville, Melville, Miami, Milwaukee, Minneapolis, Nashville, New Orleans, Oklahoma City, Orlando, Philadelphia, Phoenix, Pittsburgh, Portland

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.

Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

  • Analyse and identify the linkages and interactions between the component parts of an entire system.
  • Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
  • Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
  • Develop skills outside your comfort zone, and encourage others to do the same.
  • Effectively mentor others.
  • Use the review of work as an opportunity to deepen the expertise of team members.
  • Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
  • Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.



The Opportunity

As part of the Data and Analytics team you can manage the development of AI and GenAI solutions, including analytical modeling and integration. As a Director, you can set the strategic direction and lead business development efforts, making significant decisions and overseeing multiple projects while maintaining executive-level client relations. This role involves managing global data and analytics teams, facilitating executive-level presentations, and guiding the development of AI/GenAI architectures for clients.

Responsibilities

- Guide the strategic direction for AI and GenAI solution development

- Develop and refine AI/GenAI architectures for client needs

- Foster collaboration across data and analytics teams

- Align with client objectives and industry standards

- Promote technological advancements in data-driven solutions

What You Must Have

- Bachelor's Degree

- 10 years of experience

What Sets You Apart

- Master's Degree preferred

- Managing AI and GenAI solution development teams

- Experience in Energy and Utilities Industry

- Documenting and analyzing business processes for AI

- Designing AI/GenAI architectures for plugin-based solutions

- Managing global data and analytics team operations

- Leading development of proof of concepts and pilots

- Facilitating executive level presentations on GenAI solutions

- Managing GenAI application development teams

- Experience with Python, LLM frameworks, and cloud platforms


The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. 

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.

Learn more about how we work: https://pwc.to/how-we-work

For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws.  At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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